The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "10145791 (up from 9979535 yesterday: 1.67 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "501893 (up from 498710 yesterday: 0.64 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.95



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2548996 38845 1.55 125803 264 0.21 4.94
Brazil 1344143 30476 2.32 57622 552 0.97 4.29
Russia 633563 6784 1.08 9060 102 1.14 1.43
India 548318 19459 3.68 16475 380 2.36 3.00
United Kingdom 312640 913 0.29 43634 36 0.08 13.96
Peru 279419 3430 1.24 9317 182 1.99 3.33
Chile 271982 4216 1.57 5509 162 3.03 2.03
Spain 248770 301 0.12 28343 2 0.01 11.39
Italy 240310 174 0.07 34738 22 0.06 14.46
Iran 222669 2489 1.13 10508 144 1.39 4.72
Mexico 216852 4050 1.90 26648 267 1.01 12.29
Pakistan 206512 3557 1.75 4167 49 1.19 2.02
France 199476 3 0.00 29781 0 0.00 14.93
Turkey 197239 1356 0.69 5097 15 0.30 2.58
Germany 194693 235 0.12 8968 0 0.00 4.61
Saudi Arabia 182493 3989 2.23 1551 40 2.65 0.85
South Africa 138134 6334 4.81 2456 43 1.78 1.78
Bangladesh 137787 3809 2.84 1738 43 2.54 1.26
Canada 105193 315 0.30 8582 6 0.07 8.16
Qatar 94413 750 0.80 110 0 0.00 0.12
Colombia 91995 7335 8.66 3256 310 10.52 3.54
China 84757 14 0.02 4641 0 0.00 5.48
Egypt 65188 1265 1.98 2789 81 2.99 4.28
Sweden 65137 0 0.00 5280 0 0.00 8.11
Belarus 61475 380 0.62 383 6 1.59 0.62
Belgium 61295 86 0.14 9732 0 0.00 15.88
Argentina 59933 2189 3.79 1232 25 2.07 2.06
Ecuador 55255 681 1.25 4429 5 0.11 8.02
Indonesia 54010 1198 2.27 2754 34 1.25 5.10
Netherlands 50355 73 0.15 6124 0 0.00 12.16
United Arab Emirates 47797 437 0.92 313 2 0.64 0.65
Iraq 45402 2140 4.95 1756 96 5.78 3.87
Kuwait 44942 551 1.24 348 4 1.16 0.77
Ukraine 43856 924 2.15 1142 21 1.87 2.60
Singapore 43459 213 0.49 26 0 0.00 0.06
Portugal 41646 457 1.11 1564 3 0.19 3.76
Oman 38150 1197 3.24 163 4 2.52 0.43
Philippines 35455 652 1.87 1244 8 0.65 3.51
Poland 33907 193 0.57 1438 3 0.21 4.24
Panama 31686 1028 3.35 604 12 2.03 1.91
Switzerland 31617 62 0.20 1962 0 0.00 6.21
Bolivia 31524 848 2.76 1014 44 4.54 3.22
Dominican Republic 31373 754 2.46 726 8 1.11 2.31
Afghanistan 30967 351 1.15 721 18 2.56 2.33
Romania 26313 291 1.12 1612 23 1.45 6.13
Bahrain 25705 438 1.73 83 5 6.41 0.32
Ireland 25439 2 0.01 1735 1 0.06 6.82
Armenia 24645 736 3.08 426 5 1.19 1.73
Nigeria 24567 490 2.04 565 7 1.25 2.30
Israel 23755 334 1.43 318 1 0.32 1.34
Kazakhstan 21327 1008 4.96 178 12 7.23 0.83
Japan 18366 112 0.61 972 1 0.10 5.29
Honduras 18082 1075 6.32 479 0 0.00 2.65
Austria 17654 74 0.42 702 2 0.29 3.98
Guatemala 16930 533 3.25 727 21 2.97 4.29
Ghana 16742 311 1.89 112 9 8.74 0.67
Azerbaijan 16424 534 3.36 198 5 2.59 1.21
Moldova 16250 170 1.06 530 9 1.73 3.26
Serbia 14046 254 1.84 270 3 1.12 1.92
Algeria 13273 305 2.35 897 5 0.56 6.76
Denmark 12875 0 0.00 604 0 0.00 4.69
Nepal 12772 463 3.76 28 0 0.00 0.22
Korea, South 12757 42 0.33 282 0 0.00 2.21
Cameroon 12592 0 0.00 313 0 0.00 2.49
Morocco 12052 175 1.47 221 1 0.45 1.83
Czechia 11603 305 2.70 348 -1 -0.29 3.00
Sudan 9257 0 0.00 572 0 0.00 6.18
Cote d’Ivoire 9101 157 1.76 66 0 0.00 0.73
Norway 8855 9 0.10 249 0 0.00 2.81
Malaysia 8634 18 0.21 121 0 0.00 1.40
Uzbekistan 7948 266 3.46 22 2 10.00 0.28
Australia 7764 78 1.01 104 0 0.00 1.34
Finland 7198 0 0.00 328 0 0.00 4.56
Congo (Kinshasa) 6827 137 2.05 157 4 2.61 2.30
Senegal 6586 127 1.97 105 3 2.94 1.59
North Macedonia 6080 174 2.95 286 9 3.25 4.70
Kenya 6070 259 4.46 143 2 1.42 2.36
El Salvador 5934 207 3.61 152 9 6.29 2.56
Tajikistan 5849 50 0.86 52 0 0.00 0.89
Haiti 5777 0 0.00 100 0 0.00 1.73
Ethiopia 5689 119 2.14 98 4 4.26 1.72
Guinea 5342 51 0.96 31 1 3.33 0.58
Venezuela 5297 167 3.26 44 2 4.76 0.83
Gabon 5209 0 0.00 40 0 0.00 0.77
Kyrgyzstan 5017 504 11.17 50 4 8.70 1.00

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 392539 616 0.16 31397 29 0.09 8.00 20178.26 1613.95 1 in 50
California 215296 4712 2.24 5932 33 0.56 2.76 5448.85 150.13 1 in 184
New Jersey 171182 309 0.18 14975 27 0.18 8.75 19272.50 1685.96 1 in 52
Texas 150152 4258 2.92 2402 14 0.59 1.60 5178.39 82.84 1 in 193
Illinois 141723 646 0.46 6888 15 0.22 4.86 11184.11 543.57 1 in 89
Florida 141075 8530 6.44 3419 29 0.86 2.42 6568.43 159.19 1 in 152
Massachusetts 108667 224 0.21 8059 19 0.24 7.42 15636.66 1159.65 1 in 64
Pennsylvania 89863 417 0.47 6606 3 0.05 7.35 7019.46 516.01 1 in 142
Georgia 77210 2225 2.97 2778 2 0.07 3.60 7272.01 261.65 1 in 138
Arizona 73920 3796 5.41 1594 14 0.89 2.16 9707.29 209.33 1 in 103
Michigan 69946 267 0.38 6157 4 0.07 8.80 7003.81 616.51 1 in 143
Maryland 66777 327 0.49 3168 11 0.35 4.74 11045.41 524.01 1 in 91
North Carolina 62248 1436 2.36 1352 -1 -0.07 2.17 5935.12 128.91 1 in 168
Virginia 61736 489 0.80 1732 8 0.46 2.81 7232.83 202.92 1 in 138
Louisiana 56236 1467 2.68 3199 9 0.28 5.69 12096.90 688.14 1 in 83
Ohio 50309 854 1.73 2807 3 0.11 5.58 4303.92 240.14 1 in 232
Connecticut 46303 97 0.21 4316 5 0.12 9.32 12987.17 1210.56 1 in 77
Indiana 44930 355 0.80 2619 3 0.11 5.83 6673.88 389.02 1 in 150
Tennessee 40172 0 0.00 584 0 0.00 1.45 5878.97 85.47 1 in 170
Minnesota 35549 516 1.47 1460 8 0.55 4.11 6303.43 258.88 1 in 159
Alabama 35441 358 1.02 919 0 0.00 2.59 7228.16 187.43 1 in 138
South Carolina 33320 1381 4.32 716 5 0.70 2.15 6471.52 139.06 1 in 155
Colorado 32290 284 0.89 1676 2 0.12 5.19 5607.13 291.04 1 in 178
Washington 31752 348 1.11 1310 0 0.00 4.13 4169.72 172.03 1 in 240
Iowa 28520 447 1.59 706 2 0.28 2.48 9039.42 223.77 1 in 111
Wisconsin 27743 457 1.67 777 0 0.00 2.80 4764.85 133.45 1 in 210
Mississippi 25892 361 1.41 1039 4 0.39 4.01 8699.83 349.11 1 in 115
Utah 21100 472 2.29 167 0 0.00 0.79 6581.50 52.09 1 in 152
Missouri 20689 117 0.57 1004 0 0.00 4.85 3370.96 163.59 1 in 297
Arkansas 19818 508 2.63 264 5 1.93 1.33 6566.98 87.48 1 in 152
Nebraska 18899 124 0.66 267 0 0.00 1.41 9769.91 138.03 1 in 102
Nevada 17160 821 5.02 500 0 0.00 2.91 5571.15 162.33 1 in 179
Rhode Island 16661 0 0.00 927 0 0.00 5.56 15727.41 875.06 1 in 64
Kentucky 15232 65 0.43 558 4 0.72 3.66 3409.38 124.90 1 in 293
Kansas 13847 230 1.69 269 1 0.37 1.94 4753.01 92.33 1 in 210
Oklahoma 12947 301 2.38 385 1 0.26 2.97 3271.95 97.30 1 in 306
New Mexico 11809 190 1.64 492 1 0.20 4.17 5631.84 234.64 1 in 178
Delaware 11226 135 1.22 507 0 0.00 4.52 11528.46 520.66 1 in 87
District of Columbia 10248 32 0.31 550 2 0.36 5.37 14520.74 779.31 1 in 69
Oregon 8341 247 3.05 202 0 0.00 2.42 1977.60 47.89 1 in 506
Puerto Rico 7189 123 1.74 153 1 0.66 2.13 2251.00 47.91 1 in 444
South Dakota 6681 55 0.83 91 0 0.00 1.36 7552.06 102.86 1 in 132
New Hampshire 5747 30 0.52 367 0 0.00 6.39 4226.63 269.91 1 in 237
Idaho 5322 0 0.00 91 0 0.00 1.71 2969.76 50.78 1 in 337
North Dakota 3495 37 1.07 79 1 1.28 2.26 4586.24 103.67 1 in 218
Maine 3191 37 1.17 104 0 0.00 3.26 2373.88 77.37 1 in 421
West Virginia 2832 50 1.80 93 0 0.00 3.28 1584.65 52.04 1 in 631
Wyoming 1417 25 1.80 20 0 0.00 1.41 2448.34 34.56 1 in 408
Vermont 1202 2 0.17 56 0 0.00 4.66 1926.32 89.75 1 in 519
Hawaii 899 27 3.10 18 0 0.00 2.00 634.94 12.71 1 in 1575
Alaska 880 29 3.41 14 0 0.00 1.59 1202.93 19.14 1 in 831
Montana 863 11 1.29 22 0 0.00 2.55 807.46 20.58 1 in 1238

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3816485 392539 10.29 196184.39
California 3955952 215296 5.44 100119.70
New Jersey 1387833 171182 12.33 156248.97
Texas 1775219 150152 8.46 61223.14
Illinois 1546031 141723 9.17 122005.43
Florida 1881897 141075 7.50 87620.82
Massachusetts 835794 108667 13.00 120266.73
Pennsylvania 742982 89863 12.09 58036.45
Georgia 806938 77210 9.57 76001.30
Arizona 509896 73920 14.50 66960.36
Michigan 1016679 69946 6.88 101801.70
Maryland 519473 66777 12.85 85924.66
North Carolina 871905 62248 7.14 83132.92
Virginia 628328 61736 9.83 73613.33
Louisiana 696111 56236 8.08 149740.13
Ohio 756765 50309 6.65 64741.08
Connecticut 438623 46303 10.56 123026.00
Indiana 470535 44930 9.55 69893.00
Tennessee 748553 40172 5.37 109546.90
Minnesota 585417 35549 6.07 103804.11
Alabama 386280 35441 9.17 78781.45
South Carolina 359802 33320 9.26 69881.92
Colorado 313711 32290 10.29 54475.67
Washington 525802 31752 6.04 69049.16
Iowa 295915 28520 9.64 93790.31
Wisconsin 552454 27743 5.02 94883.69
Mississippi 280188 25892 9.24 94144.48
Utah 328449 21100 6.42 102449.56
Missouri 361173 20689 5.73 58847.61
Arkansas 291222 19818 6.81 96500.63
Nebraska 172798 18899 10.94 89328.62
Nevada 267580 17160 6.41 86872.22
Rhode Island 230508 16661 7.23 217591.55
Kentucky 358491 15232 4.25 80241.10
Kansas 167859 13847 8.25 57617.89
Oklahoma 326015 12947 3.97 82390.04
New Mexico 322959 11809 3.66 154022.57
Delaware 106346 11226 10.56 109211.27
District of Columbia 93132 10248 11.00 131961.93
Oregon 217391 8341 3.84 51542.09
Puerto Rico 7189 7189 100.00 2251.00
South Dakota 78893 6681 8.47 89178.99
New Hampshire 116109 5747 4.95 85392.41
Idaho 86345 5322 6.16 48181.85
North Dakota 103925 3495 3.36 136373.42
Maine 93495 3191 3.41 69553.76
West Virginia 166508 2832 1.70 93169.73
Wyoming 31823 1417 4.45 54984.89
Vermont 63865 1202 1.88 102349.56
Hawaii 75478 899 1.19 53308.49
Alaska 108300 880 0.81 148042.84
Montana 82474 863 1.05 77166.63

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 169883 5257 3.19 88960 52.37 73298 7610 181 2.44 4.48
Tamil Nadu 86224 3949 4.80 47749 55.38 37334 1141 62 5.75 1.32
Delhi 85161 2084 2.51 56235 66.03 26246 2680 57 2.17 3.15
Gujarat 32023 626 1.99 23248 72.60 6947 1828 19 1.05 5.71
Uttar Pradesh 22828 681 3.07 15506 67.93 6650 672 12 1.82 2.94
West Bengal 17907 624 3.61 11719 65.44 5535 653 14 2.19 3.65
Rajasthan 17660 389 2.25 13921 78.83 3334 405 6 1.50 2.29
Telangana 15394 975 6.76 5582 36.26 9559 253 6 2.43 1.64
Karnataka 14295 1105 8.38 7685 53.76 6380 226 19 9.18 1.58
Haryana 14210 381 2.76 9502 66.87 4476 232 9 4.04 1.63
Andhra Pradesh 13891 793 6.05 6232 44.86 7479 180 11 6.51 1.30
Madhya Pradesh 13370 184 1.40 10199 76.28 2607 564 7 1.26 4.22
Bihar 9618 394 4.27 7374 76.67 2181 63 1 1.61 0.66
Assam 7795 302 4.03 5334 68.43 2447 11 0 0.00 0.14
State Unassigned 7285 -554 -7.07 0 0.00 7285 0 0 NaN 0.00
Jammu and Kashmir 7237 144 2.03 4585 63.35 2557 95 1 1.06 1.31
Odisha 6859 245 3.70 4946 72.11 1883 30 2 7.14 0.44
Punjab 5418 202 3.87 3764 69.47 1516 138 5 3.76 2.55
Kerala 4312 122 2.91 2229 51.69 2057 24 1 4.35 0.56
Uttarakhand 2831 8 0.28 2108 74.46 662 39 1 2.63 1.38
Chhattisgarh 2795 101 3.75 2150 76.92 632 13 0 0.00 0.47
Jharkhand 2426 62 2.62 1849 76.22 562 15 3 25.00 0.62
Tripura 1385 34 2.52 1092 78.84 292 1 0 0.00 0.07
Goa 1251 53 4.42 524 41.89 724 3 0 0.00 0.24
Manipur 1227 42 3.54 494 40.26 733 0 0 NaN 0.00
Ladakh 964 1 0.10 616 63.90 347 1 0 0.00 0.10
Himachal Pradesh 942 26 2.84 556 59.02 365 8 0 0.00 0.85
Puducherry 690 42 6.48 262 37.97 417 11 0 0.00 1.59
Nagaland 451 36 8.67 168 37.25 283 0 0 NaN 0.00
Chandigarh 434 3 0.70 349 80.41 79 6 0 0.00 1.38
Dadra and Nagar Haveli and Daman and Diu 203 15 7.98 75 36.95 127 0 0 NaN 0.00
Arunachal Pradesh 187 5 2.75 61 32.62 125 1 0 0.00 0.53
Mizoram 151 0 0.00 61 40.40 90 0 0 NaN 0.00
Andaman and Nicobar Islands 90 7 8.43 45 50.00 45 0 0 NaN 0.00
Sikkim 88 0 0.00 49 55.68 39 0 0 NaN 0.00
Meghalaya 51 1 2.00 42 82.35 8 1 0 0.00 1.96
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1022440 93761 97 0.10 9.17 323 43 10947 16639 17.75
Piemonte 410813 31336 14 0.04 7.63 305 12 1495 4085 13.04
Emilia-Romagna 486730 28456 21 0.07 5.85 108 12 1042 4253 14.95
Veneto 944010 19275 11 0.06 2.04 16 1 460 2008 10.42
Toscana 332758 10243 5 0.05 3.08 16 6 323 1103 10.77
Liguria 145111 9967 4 0.04 6.87 48 3 272 1558 15.63
Lazio 333852 8096 14 0.17 2.43 187 13 841 837 10.34
Marche 136117 6785 0 0.00 4.98 9 0 320 991 14.61
P.A. Trento 120065 4863 3 0.06 4.05 2 0 54 405 8.33
Campania 277560 4665 0 0.00 1.68 39 0 163 431 9.24
Puglia 174968 4531 0 0.00 2.59 27 0 146 543 11.98
Friuli Venezia Giulia 186781 3308 1 0.03 1.77 12 0 38 345 10.43
Abruzzo 104558 3286 1 0.03 3.14 28 2 284 462 14.06
Sicilia 205492 3077 0 0.00 1.50 21 4 130 281 9.13
P.A. Bolzano 83445 2637 1 0.04 3.16 3 1 85 292 11.07
Umbria 94286 1440 0 0.00 1.53 2 1 9 80 5.56
Sardegna 82182 1364 1 0.07 1.66 6 0 14 132 9.68
Valle d’Aosta 18062 1194 0 0.00 6.61 3 0 4 146 12.23
Calabria 93852 1180 1 0.08 1.26 4 0 26 97 8.22
Molise 22399 445 0 0.00 1.99 0 0 26 23 5.17
Basilicata 39138 401 0 0.00 1.02 1 0 2 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55079 0 0.00 5448 0 0.00 9.89 6451.29 638.11 1 in 155
Ontario 36597 275 0.76 2717 6 0.22 7.42 2487.59 184.68 1 in 402
Alberta 7996 39 0.49 154 0 0.00 1.93 1811.86 34.90 1 in 552
British Columbia 2878 0 0.00 174 0 0.00 6.05 563.11 34.04 1 in 1776
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 778 1 0.13 13 0 0.00 1.67 658.39 11.00 1 in 1519
Manitoba 322 0 0.00 7 0 0.00 2.17 233.75 5.08 1 in 4278
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1637 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1199 7 0.58
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 912 9 0.99
Shandong 792 7 0.88
Shanghai 708 7 0.99
Jiangsu 654 0 0.00
Sichuan 592 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 163 2 1.23
Jilin 155 2 1.29
Liaoning 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7790.33 384.48 1 in 128
Brazil 6422.09 275.31 1 in 156
Russia 4384.52 62.70 1 in 228
India 409.50 12.30 1 in 2442
United Kingdom 4705.60 656.74 1 in 213
Peru 8685.70 289.62 1 in 115
Chile 15068.25 305.21 1 in 66
Spain 5331.55 607.44 1 in 188
Italy 3973.38 574.37 1 in 252
Iran 2743.58 129.47 1 in 364
Mexico 1678.42 206.25 1 in 596
Pakistan 1048.28 21.15 1 in 954
France 2977.70 444.56 1 in 336
Turkey 2440.77 63.07 1 in 410
Germany 2351.65 108.32 1 in 425
Saudi Arabia 5540.16 47.09 1 in 181
South Africa 2435.37 43.30 1 in 411
Bangladesh NA NA 1 in NA
Canada 2798.43 228.31 1 in 357
Qatar 35776.05 41.68 1 in 28

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 214750 22470 10.46
Los Angeles California 97918 3305 3.38
Cook Illinois 89755 4542 5.06
Maricopa Arizona 44962 746 1.66
Nassau New York 41754 2182 5.23
Suffolk New York 41306 1978 4.79
Westchester New York 34780 1419 4.08
Miami-Dade Florida 33714 953 2.83
Harris Texas 29276 371 1.27
Philadelphia Pennsylvania 25782 1592 6.17
Middlesex Massachusetts 23915 1855 7.76
Wayne Michigan 22621 2710 11.98
Suffolk Massachusetts 19795 1004 5.07
Dallas Texas 19595 351 1.79
Bergen New Jersey 19354 1983 10.25
Hudson New Jersey 18834 1449 7.69
Essex New Jersey 18716 2021 10.80
Prince George’s Maryland 18414 678 3.68
Passaic New Jersey 16867 1181 7.00
Middlesex New Jersey 16764 1318 7.86
Fairfield Connecticut 16633 1375 8.27
Union New Jersey 16368 1325 8.10
Essex Massachusetts 16053 1099 6.85
Riverside California 15643 438 2.80
Broward Florida 14620 382 2.61
Montgomery Maryland 14607 735 5.03
Clark Nevada 13910 410 2.95
Fairfax Virginia 13778 473 3.43
Rockland New York 13576 667 4.91
Palm Beach Florida 13389 503 3.76
San Diego California 13334 361 2.71
Providence Rhode Island 12712 0 0.00
Orange California 12608 326 2.59
Worcester Massachusetts 12324 921 7.47
New Haven Connecticut 12299 1073 8.72
Oakland Michigan 11916 1085 9.11
Hartford Connecticut 11587 1369 11.81
Hennepin Minnesota 11556 767 6.64
San Bernardino California 11501 249 2.17
Tarrant Texas 11476 225 1.96
Marion Indiana 11236 677 6.03
Milwaukee Wisconsin 11110 389 3.50
Orange New York 10713 478 4.46
Salt Lake Utah 10629 106 1.00
Mecklenburg North Carolina 10592 146 1.38
District of Columbia District of Columbia 10248 550 5.37
Bexar Texas 10147 109 1.07
Hillsborough Florida 9918 132 1.33
King Washington 9895 610 6.16
Orange Florida 9671 56 0.58

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc